University of Valladolid

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary purpose of this role is to deliver on a collaborative research project, Proteins for Singapore (P4SG), where you will be part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and structure of alternative protein foods Design, execute, and interpret experiments independently. Participate in and manage the research project with Principal Investigators (PI), and the research team members to ensure all project deliverables including periodic progress reports are met. Author papers in high-quality journals and contribute to grant writing in areas that are related to the research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as manage a team of junior researchers and students to ensure proper operation and maintenance of equipment. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Ideal qualities of the candidate include: Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation  Strong analytical and critical thinking skills Strong initiative and takes ownership of work The candidate should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine learning, and rheology will be advantageous.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Associate Professor of Teaching / Assistant Professor of Teaching / Senior Lecturer School of Graduate Studies (Post Ref.: 26/69) The School of Graduate Studies (GS) is established for strengthening the central support for postgraduate programmes as well as the monitoring of their quality in alignment with the University’s strategic direction of expanding and providing quality postgraduate education. GS currently offers a diverse range of Taught Postgraduate (TPg) programmes under three academic clusters: Policy and Education Leadership Cluster, covering public administration, policy studies, and higher education management; Regional Development and Urban Studies Cluster, focusing on regional development, and urban governance, housing studies, and arts and heritage management; and Health, Ageing and Social Innovation Studies Cluster, addressing health services management, ageing studies, gerontechnology, and social innovation and entrepreneurship. To support the continuous growth of GS TPg programmes, the School is now inviting applications for the post of Associate Professor of Teaching / Assistant Professor of Teaching / Senior Lecturer. The appointee is expected to have teaching and professional expertise in areas relevant to arts and cultural heritage management, heritage and cultural tourism and/or China and regional development studies. Preference will be given to candidates who have taught the following subject(s) before: Critical issues for culture and heritage management Cultural policy and practice Arts exhibition and performance management Cultural tourism Cultural arts management and entrepreneurship Contemporary issues in tourism Design methods for creative cultural revitalisation China and Regional Studies: Politics, Policy, and International Development Theories and Approaches of International Relations: From Global to China Theories and Approaches of Comparative Politics: From Global to China The Dragon and the Elephant: Comparative Perspectives on China and India The appointee will contribute to teaching, project supervision, programme management, curriculum design, student learning support, and academic development activities. The appointee will also be tasked to develop new academic programmes to suit the strategic development of the School. In addition, the appointee will perform other administrative duties as assigned by the Dean or Associate Dean of the School, if any. General Requirements 1. Associate Professor of Teaching Applicants should have (i) a PhD degree in the related discipline; (ii) at least five years of relevant experience in teaching; and (iii) track record in academic programme development and/or management. Preference will be given to candidates with track records in research activities. 2. Assistant Professor of Teaching Applicants should have (i) relevant postgraduate qualifications in the related discipline; and (ii) substantial relevant work experience in programme coordination and teaching, preferably at postgraduate level. Preference will be given to candidates with solid experience in conducting academic research. 3. Senior Lecturer Applicants should have (i) relevant postgraduate qualifications in the related discipline; (ii) substantial relevant teaching and course development experience in the higher education sector (normally not less than 8 years), preferably at the postgraduate level. Please indicate in your cover letter the post you are applying for. For all the above posts, applicants should have strong interpersonal, organizational, communication and presentation skills. Evidence of contributions to the scholarship of teaching, in the form of teaching-related grants, publications and conference presentations, will be viewed positively. Appointment The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for eligible appointees. For the post of Associate Professor of Teaching or Assistant Professor of Teaching, appointment will normally be made on a fixed-term contract of up to three years. For the post of Senior Lecturer, appointment will normally be made on contract basis for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work